In this paper, we introduce a Bayesian method for selecting the most promising subset of the seasonal autoregressive (SAR) models.
The real dataset used in this paper is available here, and can be downloaded.
The real time series dataset that we consider in our application is the monthly Federal Reserve Board (FRB) production index, starting from January 1948 to December 1978.